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Paper Citation Record · LEDGER

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis

As of 22 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 1 inbound Pith citation observation for arXiv:2507.15945.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.15945 v1

Coverage vector

measured 100 of 120 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:27:10.378929Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:35:35.880024Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 120 outbound references displayed

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Outbound references

Observation ccf3efb8-9592-4b39-b16e-d9b701be28dc · outbound

This paper cites Collider Inclusive Jet Data and the Gluon Distribution.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Collider Inclusive Jet Data and the Gluon Distribution

Reference 1

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Observation 024a6921-b427-4698-88fa-541b0f08f0bf · outbound

This paper cites The Effect of LHC Jet Data on MSTW PDFs.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The Effect of LHC Jet Data on MSTW PDFs

Reference 2

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Observation 5edca70b-421b-42e2-b92e-4c39f684ec8f · outbound

This paper cites Measurement of the inclusive jet cross section in pp collisions at sqrt(s)=2.76 TeV and comparison to the inclusive jet cross section at sqrt(s)=7 TeV using the ATLAS detector.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of the inclusive jet cross section in pp collisions at sqrt(s)=2.76 TeV and comparison to the inclusive jet cross section at sqrt(s)=7 TeV using the ATLAS detector

Reference 3

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Observation db4b3c6b-7a40-44fd-a314-dd5263b5fd76 · outbound

This paper cites Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at sqrt(s) = 7 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at sqrt(s) = 7 TeV

Reference 4

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Observation 343881dc-ef11-4b91-8dc1-22137d56e42f · outbound

This paper cites Measurement and QCD analysis of double-differential inclusive jet cross-sections in pp collisions at sqrt(s) = 8 TeV and ratios to 2.76 and 7 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement and QCD analysis of double-differential inclusive jet cross-sections in pp collisions at sqrt(s) = 8 TeV and ratios to 2.76 and 7 TeV

Reference 5

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Observation ace28bb5-c238-4bdb-a88d-582aaca42181 · outbound

This paper cites NNLO QCD predictions for single jet inclusive production at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis NNLO QCD predictions for single jet inclusive production at the LHC

Reference 6

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Observation 6bc5e46c-667e-4887-ae57-d9ea021fa0f6 · outbound

This paper cites The Impact of LHC Jet Data on the MMHT PDF Fit at NNLO.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The Impact of LHC Jet Data on the MMHT PDF Fit at NNLO

Reference 7

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Observation ca60ebab-6b13-428e-93c3-a7cc9227b88a · outbound

This paper cites Precise predictions for dijet production at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Precise predictions for dijet production at the LHC

Reference 8

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Observation b38958d1-2bfe-48bc-9e45-9a3640d06556 · outbound

This paper cites Fitting the Strong Coupling Constant with Soft-Drop Thrust.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Fitting the Strong Coupling Constant with Soft-Drop Thrust

Reference 9

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Observation 1e851bb8-ff30-4d7c-9cc7-8c9a623cbbb7 · outbound

This paper cites Probing Transverse-Momentum Distributions With Groomed Jets.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Probing Transverse-Momentum Distributions With Groomed Jets

Reference 10

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Observation ba367b7d-df0f-45c5-bdfa-60ba29cf4105 · outbound

This paper cites Phenomenology of NNLO jet production at the LHC and its impact on parton distributions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Phenomenology of NNLO jet production at the LHC and its impact on parton distributions

Reference 11

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Observation 29a1d072-ca9c-4c51-b066-30bd3ccf4398 · outbound

This paper cites Determination of the parton distribution functions of the proton from ATLAS measurements of differential $W^\pm$ and $Z$ boson production in association with jets.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Determination of the parton distribution functions of the proton from ATLAS measurements of differential $W^\pm$ and $Z$ boson production in association with jets

Reference 12

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Observation c7525b89-3144-481b-af32-29849e0c5f26 · outbound

This paper cites Study of quark and gluon jet substructure in Z+jet and dijet events from pp collisions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Study of quark and gluon jet substructure in Z+jet and dijet events from pp collisions

Reference 13

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Observation c0e3ca1d-8b8b-4e80-81db-2999a00e5d67 · outbound

This paper cites Measurements of the groomed and ungroomed jet angularities in pp collisions at $\sqrt{s} = 5.02$ TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurements of the groomed and ungroomed jet angularities in pp collisions at $\sqrt{s} = 5.02$ TeV

Reference 14

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Observation a1b6ac5f-3102-449b-b69b-9f036239661b · outbound

This paper cites On Determining $\alpha_s(m_Z)$ from Dijets in $e^+e^-$ Thrust.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis On Determining $\alpha_s(m_Z)$ from Dijets in $e^+e^-$ Thrust

Reference 15

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Observation dd2fe63d-5bb0-4843-89a3-cb1b0cb93580 · outbound

This paper cites Measurement of the ratio of the inclusive 3-jet cross section to the inclusive 2-jet cross section in pp collisions at sqrt(s) = 7 TeV and first determination of the strong coupling constant in the TeV range.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of the ratio of the inclusive 3-jet cross section to the inclusive 2-jet cross section in pp collisions at sqrt(s) = 7 TeV and first determination of the strong coupling constant in the TeV range

Reference 16

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of the inclusive 3-jet production differential cross section in proton-proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range

Reference 17

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Observation 8518b3f5-0a17-43c5-bb7f-b5f301f7106f · outbound

This paper cites Measurement of transverse energy-energy correlations in multi-jet events in $pp$ collisions at $\sqrt{s} = 7$ TeV using the ATLAS detector and determination of the strong coupling constant $\alpha_{\mathrm{s}}(m_Z)$.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of transverse energy-energy correlations in multi-jet events in $pp$ collisions at $\sqrt{s} = 7$ TeV using the ATLAS detector and determination of the strong coupling constant $\alpha_{\mathrm{s}}(m_Z)$

Reference 18

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Observation 83e82fe7-cc9b-42e2-9e29-e8a1b22f73b4 · outbound

This paper cites Determination of the strong coupling constant $\alpha_s$ from transverse energy-energy correlations in multijet events at $\sqrt{s} = 8$ TeV using the ATLAS detector.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Determination of the strong coupling constant $\alpha_s$ from transverse energy-energy correlations in multijet events at $\sqrt{s} = 8$ TeV using the ATLAS detector

Reference 19

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Observation 58dbeea7-5e99-4585-be3c-7625a940765f · outbound

This paper cites Determination of the strong coupling constant from inclusive jet cross section data from multiple experiments.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Determination of the strong coupling constant from inclusive jet cross section data from multiple experiments

Reference 20

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Observation 381de6d5-8d29-40fb-9252-c02d83c62a5d · outbound

This paper cites Prospects for strong coupling measurement at hadron colliders using soft-drop jet mass.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Prospects for strong coupling measurement at hadron colliders using soft-drop jet mass

Reference 21

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Observation befe5670-37de-420a-8300-bed653807bd4 · outbound

This paper cites A Precise Determination of $\alpha_s$ from the Heavy Jet Mass Distribution.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis A Precise Determination of $\alpha_s$ from the Heavy Jet Mass Distribution

Reference 22

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Observation e310870b-e0ac-4706-9627-a8630abdc80e · outbound

This paper cites Combining subjet algorithms to enhance ZH detection at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Combining subjet algorithms to enhance ZH detection at the LHC

Reference 23

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This paper cites Jet substructure and probes of CP violation in Vh production.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet substructure and probes of CP violation in Vh production

Reference 24

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This paper cites LHC searches for the CP-odd Higgs by the jet substructure analysis.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis LHC searches for the CP-odd Higgs by the jet substructure analysis

Reference 25

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Towards an Understanding of the Correlations in Jet Substructure

Reference 26

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Search for new resonances in mass distributions of jet pairs using 139 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

Reference 27

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Search for physics beyond the standard model in events with jets and two same-sign or at least three charged leptons in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 28

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This paper cites Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Reference 29

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Hayrapetyan et al

Reference 30

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Observables for possible QGP signatures in central pp collisions

Reference 31

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Sensitivity of jet substructure to jet-induced medium response

Reference 32

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Probing medium-induced jet splitting and energy loss in heavy-ion collisions

Reference 33

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Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Medium response in JEWEL and its impact on jet shape observables in heavy ion collisions

Reference 34

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Observation ec5447c4-fe1e-432c-aa96-9baae03ce346 · outbound

This paper cites Can We Observe Jet $P_T$-broadening in Heavy-Ion Collisions at the LHC?.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Can We Observe Jet $P_T$-broadening in Heavy-Ion Collisions at the LHC?

Reference 35

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Observation 0e18c99f-f81c-4950-ad6f-a0719df2d7b7 · outbound

This paper cites Modification of Jet Substructure in Heavy Ion Collisions as a Probe of the Resolution Length of Quark-Gluon Plasma.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Modification of Jet Substructure in Heavy Ion Collisions as a Probe of the Resolution Length of Quark-Gluon Plasma

Reference 36

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Observation 86892d55-663c-4f31-bcda-93d133bf9b2b · outbound

This paper cites Deciphering the $z_g$ distribution in ultrarelativistic heavy ion collisions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Deciphering the $z_g$ distribution in ultrarelativistic heavy ion collisions

Reference 37

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Observation 740db7bc-e702-4b27-92a9-4fe876632a67 · outbound

This paper cites Dynamically groomed jet radius in heavy-ion collisions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Dynamically groomed jet radius in heavy-ion collisions

Reference 38

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Observation 8de77589-ce40-4645-a8e4-ada5895df75e · outbound

This paper cites Isolating perturbative QCD splittings in heavy-ion collisions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Isolating perturbative QCD splittings in heavy-ion collisions

Reference 39

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Observation a2c64758-a1b1-4b42-a9a6-6756c51cf40e · outbound

This paper cites Hard jet substructure in a multistage approach.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Hard jet substructure in a multistage approach

Reference 40

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Observation fec9fec6-55be-4565-a033-a2bd0e27edd3 · outbound

This paper cites Jet angularities in dijet production in proton-proton and heavy-ion collisions at RHIC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet angularities in dijet production in proton-proton and heavy-ion collisions at RHIC

Reference 41

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Observation d8629170-92a0-4685-aca2-db505a730a57 · outbound

This paper cites Apolin´ ario, Y.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Apolin´ ario, Y

Reference 42

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Observation 8cda0d69-4174-41dd-ac65-7acbf50a9459 · outbound

This paper cites Moraes, C.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Moraes, C

Reference 43

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Observation 2791deb8-8984-4559-8bd6-1f926da65e78 · outbound

This paper cites Pileup subtraction using jet areas.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Pileup subtraction using jet areas

Reference 44

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Observation e72c2f8c-307e-4d52-9c13-6b80cffb5526 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 45

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Observation 348a7ab6-ecaf-4938-93f3-07b788ea8092 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: Experimental Review.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet Substructure at the Large Hadron Collider: Experimental Review

Reference 46

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Observation fa57d849-fd25-41a2-9ee0-d59f63d8fb9a · outbound

This paper cites Looking inside jets: an introduction to jet substructure and boosted-object phenomenology.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Looking inside jets: an introduction to jet substructure and boosted-object phenomenology

Reference 47

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source=pdf_text observed=2026-08-06T15:27:10.098242Z digest=sha256:6d73b8d740d472915b5a2c2eb325fb94787b68f42527fdc5e2a682024d0db5af

Observation f7c45698-d998-4b98-ac42-42110135a8ad · outbound

This paper cites Resummation of heavy jet mass and comparison to LEP data.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummation of heavy jet mass and comparison to LEP data

Reference 48

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Observation 5e37ee1b-43a1-4575-9f5d-aebe94136402 · outbound

This paper cites Jet energy spectrum and substructure in $e^+e^-$ collisions at 91.2 GeV with ALEPH Archived Data.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet energy spectrum and substructure in $e^+e^-$ collisions at 91.2 GeV with ALEPH Archived Data

Reference 49

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source=pdf_text observed=2026-08-06T15:27:10.108484Z digest=sha256:72222f6061ca883d3fe23f0638694f0388ceb8c76d7e900b1ad3d3ea1750c4d1

Observation 8842d568-cdab-4b10-828d-39d89b16441e · outbound

This paper cites Andreev et al.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Andreev et al

Reference 50

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verified exact
raw_fallback, observed 2026-08-06T15:27:12.996906Z

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Observation 01dff0ca-2141-46a2-b959-b527e8324202 · outbound

This paper cites Study of Substructure of High Transverse Momentum Jets Produced in Proton-Antiproton Collisions at sqrt(s)=1.96 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Study of Substructure of High Transverse Momentum Jets Produced in Proton-Antiproton Collisions at sqrt(s)=1.96 TeV

Reference 51

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local_arxiv, observed 2026-08-06T15:27:12.790567Z

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Observation 4ce6be17-2c54-4179-97d5-7914fb00eb9e · outbound

This paper cites Abdallah et al.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Abdallah et al

Reference 52

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verified exact
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Observation 9f04afb0-98e7-471d-b27c-8977d6543e97 · outbound

This paper cites Jet mass and substructure of inclusive jets in sqrt(s) = 7 TeV pp collisions with the ATLAS experiment.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet mass and substructure of inclusive jets in sqrt(s) = 7 TeV pp collisions with the ATLAS experiment

Reference 53

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Observation 79fbb7dd-6e53-49cd-a48c-b7a26e421425 · outbound

This paper cites Studies of jet mass in dijet and W/Z + jet events.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Studies of jet mass in dijet and W/Z + jet events

Reference 54

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local_arxiv, observed 2026-08-06T15:27:12.395073Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 591549d6-e602-42c3-88b7-6663083dcf42 · outbound

This paper cites First measurement of jet mass in Pb-Pb and p-Pb collisions at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis First measurement of jet mass in Pb-Pb and p-Pb collisions at the LHC

Reference 55

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verified exact
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:27:10.138869Z digest=sha256:39b2ee02a9ddac7574ba75fc815699bb0a0ddf60d2b3823c33b7593bc48ba3d6

Observation d723d6bc-324a-4319-b8d7-1d61cab7f669 · outbound

This paper cites Measurement of the jet mass in highly boosted t t-bar events from pp collisions at sqrt(s) = 8 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of the jet mass in highly boosted t t-bar events from pp collisions at sqrt(s) = 8 TeV

Reference 56

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Observation 107adfc5-d346-41e1-8c0b-3482a9ddb422 · outbound

This paper cites A measurement of the soft-drop jet mass in pp collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis A measurement of the soft-drop jet mass in pp collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

Reference 57

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Observation d3a4b31e-17b8-490f-acd9-8a88f49dc6b5 · outbound

This paper cites an unresolved cited work.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Unresolved cited work

Reference 58

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Observation 027c7039-ee57-40f8-ac88-ef2e2094832b · outbound

This paper cites Measurement of the groomed jet mass in PbPb and pp collisions at $\sqrt{s_{_\mathrm{NN}}} =$ 5.02 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurement of the groomed jet mass in PbPb and pp collisions at $\sqrt{s_{_\mathrm{NN}}} =$ 5.02 TeV

Reference 59

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source=pdf_text observed=2026-08-06T15:27:10.160117Z digest=sha256:7098cca59c69c219c6ee990af56bea5d3aab0200a9826af557f9a19cfb851685

Observation c55e3c83-673f-47f4-8816-06e2210bba12 · outbound

This paper cites Measurements of the differential jet cross section as a function of the jet mass in dijet events from proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Measurements of the differential jet cross section as a function of the jet mass in dijet events from proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 60

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source=pdf_text observed=2026-08-06T15:27:10.165468Z digest=sha256:7e3557b7c6a2776c6b870440c0dbd04937c62f54c2170cf6e182b127023a6da4

Observation 13a7adfc-be94-4dce-b1dc-3e3731e01506 · outbound

This paper cites Medium-induced modification of groomed and ungroomed jet mass and angularities in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Medium-induced modification of groomed and ungroomed jet mass and angularities in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV

Reference 61

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local_arxiv, observed 2026-08-06T15:27:12.013305Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:27:10.171361Z digest=sha256:3d6f002f38401f6d46be24c8f257aace763008160db24e836c96b1f21369ad99

Observation 919203e5-f325-43a8-82ee-6497fb4a3bc6 · outbound

This paper cites Aaij et al.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Aaij et al

Reference 62

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:27:10.177259Z digest=sha256:41bdd59e9caccef95d61a37e8f716ea33d0627da96d86447e582ab6c8e3b6b75

Observation 09ac1e22-eddc-4e99-9334-55b29f3797e4 · outbound

This paper cites NNLO corrections to event shapes in $e^+e^-$ annihilation.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis NNLO corrections to event shapes in $e^+e^-$ annihilation

Reference 63

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Observation b1afcf92-fe44-46df-a95f-31049d114d3a · outbound

This paper cites Soft-Drop Thrust.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Soft-Drop Thrust

Reference 64

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source=pdf_text observed=2026-08-06T15:27:10.188391Z digest=sha256:f3b391b16d704dd33612e515b57ae379333a99b9e6fae1654fa01424a9f02410

Observation 553b1aa3-360a-4518-b9c4-e3a004c5d86d · outbound

This paper cites Soft-drop event shapes in electron-positron annihilation at next-to-next-to-leading order accuracy.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Soft-drop event shapes in electron-positron annihilation at next-to-next-to-leading order accuracy

Reference 65

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source=pdf_text observed=2026-08-06T15:27:10.193700Z digest=sha256:0e3d8356a85e2ce0782316ce6d4052429329207c2e73a2f4dc6a579bcabaed1a

Observation 67db72d0-57e3-4a7f-a2a1-fcd7f79ddca2 · outbound

This paper cites Jet production in the CoLoRFulNNLO method: event shapes in electron-positron collisions.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet production in the CoLoRFulNNLO method: event shapes in electron-positron collisions

Reference 66

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source=pdf_text observed=2026-08-06T15:27:10.198957Z digest=sha256:33880ff4336216d3b615bfc556cebe96204298673acb517c4cb1e84154cb944c

Observation 756684f2-6ea3-4aef-b169-e4734bfcd869 · outbound

This paper cites Event shapes and jet rates in electron-positron annihilation at NNLO.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Event shapes and jet rates in electron-positron annihilation at NNLO

Reference 67

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source=pdf_text observed=2026-08-06T15:27:10.204079Z digest=sha256:db014ac0f6f9374264326703a69fcb604b2dc1d2924c5e418214e69e3acd5b59

Observation 744f9dfa-742b-42c6-9db0-76bf49dc6648 · outbound

This paper cites On jet mass distributions in Z+jet and dijet processes at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis On jet mass distributions in Z+jet and dijet processes at the LHC

Reference 68

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source=pdf_text observed=2026-08-06T15:27:10.209324Z digest=sha256:03f4df2b14fd18fcc586a8b963b7cddf67f0bff6c30c861b851bb0bac73cf439

Observation eda59585-d3e7-4e51-8db9-9bf8dbd75b20 · outbound

This paper cites Precision physics with pile-up insensitive observables.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Precision physics with pile-up insensitive observables

Reference 69

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verified exact
local_arxiv, observed 2026-08-06T15:27:11.594254Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:27:10.214985Z digest=sha256:d88960611d1714960471c12e0dcd097ffb9d84a7ab24ea68ff437d9c40dbc788

Observation 6b5026e7-5ea1-4f51-b7d8-9dece6501dfc · outbound

This paper cites Factorization of Jet Mass Distribution in the small $R$ limit.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Factorization of Jet Mass Distribution in the small $R$ limit

Reference 70

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:27:10.220851Z digest=sha256:8c34ba4d82672daefaac3c0e5231f103c5e7ff971bec6266d10d00194d64774e

Observation df6b532d-a4c2-4f56-bfaa-b5319497b343 · outbound

This paper cites Groomed jet mass at high precision.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Groomed jet mass at high precision

Reference 71

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Observation 3e9ef3e0-6163-4065-95c0-49ef2e392e11 · outbound

This paper cites Jet mass distribution in Higgs/vector boson + jet events at hadron colliders with $k_t$ clustering.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet mass distribution in Higgs/vector boson + jet events at hadron colliders with $k_t$ clustering

Reference 72

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Observation 730a2044-9445-4724-9861-5dc1ce205052 · outbound

This paper cites Catani, B.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Catani, B

Reference 73

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Observation 18730717-b1cd-4add-8c8a-8363e4133954 · outbound

This paper cites Catani, Y.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Catani, Y

Reference 74

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Observation 7754f837-50bf-4079-8c8e-1cfec4ebfb65 · outbound

This paper cites Principles of general final-state resummation and automated implementation.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Principles of general final-state resummation and automated implementation

Reference 75

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Observation 372678d0-d641-4e5e-8501-3958c0dbb292 · outbound

This paper cites QCD resummation for light-particle jets.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis QCD resummation for light-particle jets

Reference 76

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Observation 5d22dca7-4c97-4011-b506-e750ca35fc9a · outbound

This paper cites Resummation of Jet Mass at Hadron Colliders.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummation of Jet Mass at Hadron Colliders

Reference 77

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Observation 77d09ff4-c50e-4d5e-bbb8-b61b39c2df61 · outbound

This paper cites Factorization for groomed jet substructure beyond the next-to-leading logarithm.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Factorization for groomed jet substructure beyond the next-to-leading logarithm

Reference 78

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Observation 2a1a3317-9bf3-476d-8687-89024e6c6e18 · outbound

This paper cites Factorization for Jet Radius Logarithms in Jet Mass Spectra at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Factorization for Jet Radius Logarithms in Jet Mass Spectra at the LHC

Reference 79

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Observation 4513700c-d026-4179-a1a3-fbdf7860fdcd · outbound

This paper cites The jet mass distribution after Soft Drop.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The jet mass distribution after Soft Drop

Reference 80

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Observation d0b2bef7-7c50-4b43-bf8e-e4afdeb9c293 · outbound

This paper cites The groomed and ungroomed jet mass distribution for inclusive jet production at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The groomed and ungroomed jet mass distribution for inclusive jet production at the LHC

Reference 81

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Observation 9146f83e-082e-4859-a664-f6d84b7c57c4 · outbound

This paper cites NLL${'}$ resummation of jet mass.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis NLL${'}$ resummation of jet mass

Reference 82

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Observation 828476e1-99a8-470a-8a8b-301a2fe4497b · outbound

This paper cites Resummed jet mass distribution with trimming in Z+jet events at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummed jet mass distribution with trimming in Z+jet events at the LHC

Reference 83

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Observation d534c200-3b17-47eb-a34b-b27f1c884414 · outbound

This paper cites Precision $e^+e^-$ Hemisphere Masses in the Dijet Region with Power Corrections.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Precision $e^+e^-$ Hemisphere Masses in the Dijet Region with Power Corrections

Reference 84

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Observation 950fd78a-78e8-44fc-b34f-bdcaeece82a9 · outbound

This paper cites Resummation of non-global QCD observables.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummation of non-global QCD observables

Reference 85

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Observation eee96761-7748-4066-b23b-e98680e8e3be · outbound

This paper cites Accounting for coherence in interjet E_t flow: a case study.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Accounting for coherence in interjet E_t flow: a case study

Reference 86

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Observation dac7e9d4-2643-421d-b7c5-bcdd530380b9 · outbound

This paper cites The dijet cross section with a jet veto.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The dijet cross section with a jet veto

Reference 87

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Observation eac3953b-fd9a-462b-85b5-f118cc150c5d · outbound

This paper cites Non--global logs and clustering impact on jet mass with a jet veto distribution.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Non--global logs and clustering impact on jet mass with a jet veto distribution

Reference 88

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Observation 0dbdb588-c915-4e11-88a2-290709d2ccef · outbound

This paper cites Non-global Logarithms at 3 Loops, 4 Loops, 5 Loops and Beyond.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Non-global Logarithms at 3 Loops, 4 Loops, 5 Loops and Beyond

Reference 89

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Observation 227b9775-1a2c-43cf-9c5b-6abad404968f · outbound

This paper cites Non-Global Logarithms, Factorization, and the Soft Substructure of Jets.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Non-Global Logarithms, Factorization, and the Soft Substructure of Jets

Reference 90

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Observation e27b5e22-c64f-4526-bbd0-a3c175326ffa · outbound

This paper cites The Analytic Structure of Non-Global Logarithms: Convergence of the Dressed Gluon Expansion.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis The Analytic Structure of Non-Global Logarithms: Convergence of the Dressed Gluon Expansion

Reference 91

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Observation fc96db6e-4f78-44eb-86db-e32715bc5763 · outbound

This paper cites Factorization and Resummation for Jet Processes.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Factorization and Resummation for Jet Processes

Reference 92

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Observation 84e893e0-7776-47c5-8560-becdc3473ee3 · outbound

This paper cites Non-global and rapidity logarithms in narrow jet broadening.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Non-global and rapidity logarithms in narrow jet broadening

Reference 93

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Observation d71835c2-8e0d-4155-904b-08484a42251a · outbound

This paper cites Jet Angularities in Z+jet production at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet Angularities in Z+jet production at the LHC

Reference 94

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Observation 5650e38b-22f1-4f5f-842a-aab736c2246b · outbound

This paper cites Resummation of Super-Leading Logarithms.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummation of Super-Leading Logarithms

Reference 95

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Observation a8376641-a166-46a3-b215-bab27c8f0e61 · outbound

This paper cites Resummation of Next-to-Leading Non-Global Logarithms at the LHC.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Resummation of Next-to-Leading Non-Global Logarithms at the LHC

Reference 96

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This paper cites Factorization of Non-Global LHC Observables and Resummation of Super-Leading Logarithms.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Factorization of Non-Global LHC Observables and Resummation of Super-Leading Logarithms

Reference 97

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Observation d3be161b-66e1-487b-9fb4-88a62472170b · outbound

This paper cites Power corrections to event shapes and factorization.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Power corrections to event shapes and factorization

Reference 98

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Observation e5a79581-b602-4c67-9e30-ff473ce9f56e · outbound

This paper cites Non-perturbative QCD effects in jets at hadron colliders.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Non-perturbative QCD effects in jets at hadron colliders

Reference 99

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Observation f917cdc2-f1a1-4642-bffa-e08171769cab · outbound

This paper cites Jet Mass Spectra in Higgs + One Jet at NNLL.

Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis Jet Mass Spectra in Higgs + One Jet at NNLL

Reference 100

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Pith citing papers

Observation 698e3f05-e919-436c-b151-123733076753 · inbound

Physics of the Electron-Ion Collider in China cites this paper.

Physics of the Electron-Ion Collider in China Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis

Reference 218

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